科技職缺
職缺列表
Senior ML Engineer "Search"
Навыки: Python, NLP, SQL. Квалификация: Senior. Специализации: ML разработчик. О команде Поиск – ключевое направление бизнеса Okko, генерирующее основной трафик на просмотры наших тайтлов. Для эффективного развития…
AI/ML Developer
We are launching a strategic pool of AI specialists to accelerate the growth of our AI Practice and turn strong market demand into scalable, repeatable capabilities. This role goes beyond project delivery-it is about…
Sr Machine Learning Engineer
Career Category Engineering Job Description Job Description
ML Engineer в центр робототехники
В Центре робототехники Сбера мы обучаем модели, которые должны управлять роботами в сложных реальных условиях. Для этого мало просто собрать большое количество данных: нужно понимать, какие записи полезны, где в них…
AI / Machine Learning Lead Consultant, Prague
About the Role As an AI / ML Lead Consultant, you will lead customer engagements around modern data platforms, machine learning and Generative AI on Google Cloud. You will combine technical leadership, architectural…
Machine Learning Engineer II
Build production ML and GenAI capabilities powering Demandbase's B2B company and domain intelligence, designing LLM/RAG systems, NLP pipelines, and large-scale data/feature pipelines using Python, SQL, Spark, Kubernetes, and cloud-native tooling from the Hyderabad office.
Lead ML Engineer / ML Tech Lead
Мы создаём технологию восстановления конструкторской документации по старым архивным чертежам. На входе — комплект отсканированных документов: чертежи деталей и сборок, спецификации, электрические схемы, технические…
AI/ML Signal Processing Engineer
Salary: Excellent salary package on offer Join an innovative defence company developing advanced signal processing, AI and machine learning solutions for complex sensing and detection applications. This is a hands-on…
AI/ML ASIC Architect
Architect AI/ML accelerator ASICs that integrate Sandisk's AI storage solutions with GPU/TPU/xPU accelerators via high-bandwidth interfaces such as UCIe, PCIe, and CXL, focusing on I/O subsystem and DMA design for next-generation data-centric products.
Computer Vision Engineer
eShepherd is virtual fencing for cattle: solar-powered neckbands, a phone app and a platform that lets a farmer draw a paddock on a screen and have the mob standing in it by morning. We run on farms in more than twenty…
Computer Vision Engineer
eShepherd is virtual fencing for cattle: solar-powered neckbands, a phone app and a platform that lets a farmer draw a paddock on a screen and have the mob standing in it by morning. We run on farms in more than twenty…
Senior Staff, Machine Learning Engineer (Coupang Eats Search)
Lead ML innovation on retrieval and relevance for Coupang Eats Search. Owns end-to-end stack including query/product understanding, candidate retrieval, relevance, and evaluation, applying modern ML, embeddings, transformers, and LLMs at scale.
Head of Machine Learning Infrastructure
Lead the ML infrastructure team at a quantitative hedge fund, building GPU/CPU clusters, distributed training systems, and ML platforms supporting PB-scale data and tens-of-TB model training for quant research. Core stack: Kubernetes, Docker, CUDA/NCCL/RDMA, Ray, Slurm, PyTorch Distributed, Python/Go/C++/Rust/Java.
Sr. Manager, Machine Learning Engineering-Applied Research
Lead and develop a team of ML researchers and engineers at Pinterest building next-generation recommendation systems. Drives the roadmap from breakthrough ML research into production systems that power the platform.
Staff Machine Learning Engineer, Ads Conversion Core Modeling
Lead ML engineering for Pinterest's Ads Conversion Core Modeling team — design and build large-scale, low-latency DNN models for user action prediction, mine text/visual/user signals to infer intent, and mentor engineers on ad products.
Sr. Machine Learning Engineer, tvScientific
Build ML and AI systems for tvScientific's Connected TV ad-buying platform: writing production Python for real-time bidding, campaign optimization, and incrementality measurement at scale, while using LLMs and generative AI to accelerate ML development.